Peter Chu
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Nephrology top 10%
- Acute Kidney Injury Research
Papers in
-
- Cell death mechanisms and regulation 4
- Genetics 8
- Chronic Lymphocytic Leukemia Research 8
- Virus-based gene therapy research 4
- Co-authors
- Thomas J. Kipps (5 shared papers)Robert Peach (2 shared papers)Homer Tien (5 shared papers)Eric Hare (1 shared paper)Jungwha Lee (1 shared paper)William G. Wierda (3 shared papers)Paul Hamilton (4 shared papers)Paul A. Hamilton (2 shared papers)
- Journals
- Blood (4 papers)Cancer Research (2 papers)Journal of Clinical Oncology (2 papers)Journal of the American College of Surgeons (1 paper)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Peter Chu
37 papers receiving 973 citations
Peers
Comparison fields: 5 of 97
- Genetics 139
- Nephrology 65
- Oncology 221
- Immunology 164
- Hepatology 55
Countries citing papers authored by Peter Chu
This map shows the geographic impact of Peter Chu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Peter Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Chu more than expected).
Fields of papers citing papers by Peter Chu
This network shows the impact of papers produced by Peter Chu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Peter Chu. The network helps show where Peter Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 175 | |
| 2 | 2010 | 108 | |
| 3 | 2006 | 86 | |
| 4 | 2002 | 78 | |
| 5 | 2007 | 56 | |
| 6 | 2012 | 47 | |
| 7 | 2005 | 44 | |
| 8 | 2005 | 43 | |
| 9 | 2006 | 35 | |
| 10 | 2007 | 31 | |
| 11 | 1992 | 26 | |
| 12 | Active extravasation of arterial contrast agent on post-traumatic abdominal computed tomography. | 2004 | 25 |
| 13 | 2000 | 25 | |
| 14 | 2008 | 25 | |
| 15 | 2004 | 22 | |
| 16 | 1998 | 21 | |
| 17 | 2000 | 18 | |
| 18 | Immunogenetic therapy for B-cell malignancies. | 2000 | 17 |
| 19 | 2005 | 14 | |
| 20 | 1993 | 14 |
About Peter Chu
Peter Chu is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Surgery, having authored 37 papers that have together received 996 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (8 papers), Cancer Cells and Metastasis (5 papers), Cell death mechanisms and regulation (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Virus-based gene therapy research (4 papers), CAR-T cell therapy research (3 papers) and Phagocytosis and Immune Regulation (3 papers). The work is most often cited by research in Genetics (139 citations), Nephrology (65 citations), Oncology (221 citations), Immunology (164 citations) and Hepatology (55 citations). Peter Chu has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Thomas J. Kipps, Robert Peach, Homer Tien, Eric Hare, Jungwha Lee, William G. Wierda, Paul Hamilton, Paul A. Hamilton, Ekaterina Revskaya and Arturo Casadevall. Their work appears in journals such as Blood, Cancer Research, Journal of Clinical Oncology, Journal of the American College of Surgeons and Molecular Cancer Therapeutics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.